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Flocking-Algorithm-Simulation

我这里算法是根据论文上面的公式敲出来的,相关原理并不是很了解,目的是完成概率机器人作业。虽然作者本事是做机器人的,但并不涉及到集群上面的项目,如代码有疏漏欢迎指出~

项目参考github python代码Flocking for multi-agent dynamic systems: algorithms and theory

项目仿真的是论文第三部分:FLOCKING WITH OBSTACLE AVOIDANCE,也就是包含了避障的代码,核心公式如下 $$u_i=u_i^\alpha+u_i^\beta+u_i^\gamma$$ 这里的 $u_i$ 可以理解为合力, $u_i^\alpha$ 可以理解为 $\alpha$ 智能体之间相互作用力, $u_i^\beta$ 可以理解为 $\alpha$ 智能体(机器人)和 $\beta$ 智能体(障碍物)之间的作用力, $u_i^\gamma$ 可以理解为终点对智能体的吸引力。

具体细节可以尝试删除某个分量,看看仿真表现,代码中的一些超参数都是凭感觉设置的,并未调整到最佳,若有兴趣可以尝试调整参数看看仿真表现。

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